Add ragleap-rag to Natural Language Processing

[antonyrag]

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• One project per PR
• PR title format: Add project-name
• Entry format: - [project-name](url) - Description ending with period.
• Description is concise and short

Why This Project Is Awesome

Which criterion does it meet? (pick one)

• Industry Standard - The go-to tool for a specific use case
• Rising Star - 5000+ stars in < 2 years, significant adoption
• Hidden Gem - Exceptional quality, solves niche problems elegantly

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How It Differs

If similar entries exist, what makes this one unique?

[antonyrag]

ragleap-rag differs from existing RAG entries in the list mainly on the
inference/dependency side rather than being another LangChain/LlamaIndex-
style orchestration layer:

• Reranking runs on ONNX Runtime (23MB quantized model), not torch/CUDA —
  avoids the 2GB+ dependency most rerankers pull in for CPU-only use
• 6 vector backends, 8 embedding providers, 12+ generation providers with
  automatic fallback chains if one is down
• Built-in per-call cost tracking with monthly budgets and auto-downgrade
• 238 tests, CI on every PR

Happy to adjust the description/placement if there's a better fit.